Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built.
We’re looking for a strong software engineer with a passion for helping developers be more productive by building the tools they need. As our Developer Infrastructure Tech Lead, you’ll design and drive the systems that make our engineers faster, safer, and more effective.You’ll shape our CI/CD pipelines, developer tooling, and infrastructure strategy, ensuring we can scale effectively in a fast-moving startup environment. This is a hands-on leadership role where you’ll architect solutions, guide best practices, and work closely with feature teams to remove friction from the development lifecycle.
We invest in creating an environment where you can do your best work and enjoy showing up.
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.
Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.
Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations.